Identification of relationships between work system parameters and fatigue in registered nurses: A data mining approach

Linsey M. Barker, Kalyan S. Pasupathy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Fatigue is a factor that affects nurse performance in the workplace. Previous research has investigated the relationships between work system parameters and fatigue; however, no study has considered multiple work system parameters simultaneously, and how they affect multiple dimensions of fatigue. This study used Chi-Squared Automatic Interaction Detection (CHAID) to mine work system parameters and their multiple interactions on perceptions of mental, physical, and total fatigue dimensions in registered nurses. Results showed that multiple work system parameters were associated with changes in fatigue levels across mental, physical, and total fatigue dimensions. These findings expand our understanding of the relationships between work system parameters and fatigue and provide valuable information to improve the design of nursing work systems, in order to retain qualified nursing personnel and ultimately improve both patient- and provider safety.

Original languageEnglish (US)
Title of host publication54th Human Factors and Ergonomics Society Annual Meeting 2010, HFES 2010
PublisherHuman Factors an Ergonomics Society Inc.
Pages364-368
Number of pages5
ISBN (Print)9781617820885
DOIs
StatePublished - Jan 1 2010

Publication series

NameProceedings of the Human Factors and Ergonomics Society
Volume1
ISSN (Print)1071-1813

ASJC Scopus subject areas

  • Human Factors and Ergonomics

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    Barker, L. M., & Pasupathy, K. S. (2010). Identification of relationships between work system parameters and fatigue in registered nurses: A data mining approach. In 54th Human Factors and Ergonomics Society Annual Meeting 2010, HFES 2010 (pp. 364-368). (Proceedings of the Human Factors and Ergonomics Society; Vol. 1). Human Factors an Ergonomics Society Inc.. https://doi.org/10.1518/107118110X12829369201791